Abstract: A method for detecting a fire flame using fuzzy finite automata is provided. The fire-flame detection method comprises (1) acquiring an image required for the detection of fire-flame, (2) dividing the image into a number of blocks, (3) extracting a fire-flame candidate block using a brightness distortion of a pixel in the block, (4) detecting a fire-flame candidate region from the fire-flame block using a color probability model, and (5) determining whether the fire-flame candidate region corresponds to a fire-flame via fuzzy finite automata. The fire-flame detection method can detect fire-flames in a variety of fire images with relatively high precision, by establishing a probability model using the brightness distortion and wavelet energy in fire-flame regions with continuous and irregular fluctuation patterns and using the upward motion, and applying the model to fuzzy finite automata.

Abstract: A method for detecting a fire flame using fuzzy finite automata is provided. The fire-flame detection method comprises (1) acquiring an image required for the detection of fire-flame, (2) dividing the image into a number of blocks, (3) extracting a fire-flame candidate block using a brightness distortion of a pixel in the block, (4) detecting a fire-flame candidate region from the fire-flame block using a color probability model, and (5) determining whether the fire-flame candidate region corresponds to a fire-flame via fuzzy finite automata. The fire-flame detection method can detect fire-flames in a variety of fire images with relatively high precision, by establishing a probability model using the brightness distortion and wavelet energy in fire-flame regions with continuous and irregular fluctuation patterns and using the upward motion, and applying the model to fuzzy finite automata.